Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Consent and assessing capacity in perioperative and intensive care.

BJA education·2026

Same author

Discrete element analysis of the effect of particle cohesion on die filling behaviour of pharmaceutical powders in a rotary tablet press.

International journal of pharmaceutics·2026

Same author

Exploring twin-screw feeding behaviour across different loss-in-weight feeders.

International journal of pharmaceutics·2026

Same author

Custom Total Knee Arthroplasty offers high precision in the coronal plane and a short learning curve: a retrospective cohort.

Acta orthopaedica Belgica·2025

Same author

The effect of material properties and process parameters on die filling using double-tip tooling: A PLS-model-based analysis.

International journal of pharmaceutics·2025

Same author

The effect of material properties and process parameters on die filling at varying throughputs: A PLS-model-based analysis.

International journal of pharmaceutics·2024

Same journal

Copper metallodendrimers effectively deliver proapoptotic siRNA to human liver carcinoma HepG2 cells.

International journal of pharmaceutics·2026

Same journal

A styrene-maleic acid copolymer-based boron carrier for tumor-retentive boron delivery in boron neutron capture therapy.

International journal of pharmaceutics·2026

Same journal

Programmable gene modulation networks for Parkinson's disease using nanotechnology enabled CRISPR/Cas brain delivery.

International journal of pharmaceutics·2026

Same journal

Dual carboxylic ionization driven MCC/MAA/IA hydrogels for enhanced oral insulin delivery.

International journal of pharmaceutics·2026

Same journal

Artificial intelligence and CRISPR-based approaches for targeted delivery of bacteriophages.

International journal of pharmaceutics·2026

Same journal

A "three-in-one" nose-to-brain delivery strategy: intranasal vancomycin spray achieves simultaneous clearance of pneumococcal colonization, bacteremia, and meningitis.

International journal of pharmaceutics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 2, 2025

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Published on: January 27, 2021

TPLS as predictive platform for twin-screw wet granulation process and formulation development.

A Ryckaert¹, D Van Hauwermeiren², J Dhondt¹

¹Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical analysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.

International Journal of Pharmaceutics

|June 10, 2021

Summary

This summary is machine-generated.

This study developed a T-shaped partial least squares (TPLS) model to connect raw material properties and process settings to granule quality in twin-screw wet granulation. The model aids in optimizing formulations for new active pharmaceutical ingredients (APIs), reducing development time and API usage.

Keywords:

Continuous manufacturing Formulation development Process understanding Twin-screw granulation

More Related Videos

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

PLGA Nanoparticles Formed by Single- or Double-emulsion with Vitamin E-TPGS

PLGA Nanoparticles Formed by Single- or Double-emulsion with Vitamin E-TPGS

Published on: December 27, 2013

Related Experiment Videos

Last Updated: Nov 2, 2025

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Published on: January 27, 2021

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

PLGA Nanoparticles Formed by Single- or Double-emulsion with Vitamin E-TPGS

PLGA Nanoparticles Formed by Single- or Double-emulsion with Vitamin E-TPGS

Published on: December 27, 2013

Area of Science:

Pharmaceutical Manufacturing
Chemical Engineering
Materials Science

Background:

Continuous manufacturing, particularly twin-screw wet granulation, is gaining interest in pharmaceutical production.
A limited understanding exists regarding how raw material properties and process parameters influence granule quality attributes.
Optimizing these factors is crucial for efficient and effective drug product development.

Purpose of the Study:

To develop a T-shaped partial least squares (TPLS) model linking raw material properties, formulation composition, and process parameters to granule quality attributes in twin-screw wet granulation.
To utilize the TPLS model's predictive capabilities for identifying optimal formulation and process settings for new active pharmaceutical ingredients (APIs).
To enhance the understanding of the interdependencies between material characteristics, formulation design, and process variables on final granule properties.

Main Methods:

Development of a T-shaped partial least squares (TPLS) model.
Analysis of raw material properties, formulation composition (ratios), and twin-screw wet granulation process parameters.
Application of the TPLS model for predictive analysis to guide formulation and process development for new APIs.

Main Results:

The TPLS model successfully linked raw material properties and process settings to granule quality attributes.
The model's predictive ability was demonstrated in identifying suitable conditions for a new API.
A better understanding of the relationships governing granule quality was achieved.

Conclusions:

The TPLS model provides a valuable tool for understanding and optimizing twin-screw wet granulation processes.
This approach can significantly reduce experimental development efforts and the consumption of expensive APIs.
It offers a practical starting point for formulation and process development for novel pharmaceutical compounds.